CO2 in Flowing Freshwater: What can we learn from 30-Years of Data?
Talk, American Fisheries Society - Annual Meeting, 2022
Recommended citation: Toavs, T. R., Hasler, C. T., Suski, C. D., & Midway, S. R. (2022). "CO2 in Flowing Freshwater: What can we learn from 30-Years of Data?." American Fisheries Society Annual Meeting. Spokane, Washington
Presenting the data pipeline and workflow for the compilation of CDFLOW.
Abstract
Carbon dioxide (CO2) concentrations in the atmosphere have been steadily increasing since the mid-twentieth century. This rise in CO2 has been shown to affect a wide range of ecosystems and organisms, with a number of negative effects of elevated CO2 documented for marine organisms. Less is known about the dynamics of CO2 in freshwaters (referred to as the partial pressure of CO2, pCO2), but the potential exists for freshwater organisms to be challenged by elevated pCO2. Direct measures of pCO2 in freshwater are limited making it challenging to define spatial or temporal trends. However, pCO2 can be estimated from pH, temperature, and alkalinity—commonly collected water quality metrics. We used the National Water Quality Monitoring Council data portal as a source of water quality metrics and the program PHREEQC to estimate pCO2 in flowing freshwaters across 35,000 sites spanning the lower 48 US states (CONUS) from 1990 through 2020. Site data for water chemistry measurements were spatially joined with the National Hydrology Dataset to define sites. Using CDFLOW data we modeled spatiotemporal pCO2 trends in flowing freshwaters from 1990 through 2020 across the CONUS using linear mixed models. CDFLOW presents an opportunity for spatiotemporal analysis of pCO2 in flowing freshwaters. However, CDFLOW also presents an opportunity for researchers to add pCO2 to their datasets for further investigation when modeling.